Ontology Enrichment

Align data on one shared language

Standardize concepts across teams and sources. Keep definitions consistent so analytics and AI outputs stay reliable over time.

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Ontology enrichment, built for scalable knowledge models

Design clean, domain-specific ontologies

Structure concepts, entities, and relationships aligned with your business reality.

Enrich automatically from your documents

Detect new concepts, suggest relations, and keep ontologies up to date at scale.

Power trustworthy AI outputs

Use enriched ontologies as a foundation for GraphRAG, search, and analytics, with explainability.

Trusted by leading teams managing large-scale document knowledge.

Structure and control how your systems reason

Model how concepts connect, interact, and depend on each other
Turn unstructured data into machine-readable, interpretable knowledge
Give agents the ability to reason, explain decisions, and act reliably

Unify data across systems and teams

Align heterogeneous data sources on a shared semantic model
Maintain consistent definitions across tools, teams, and workflows
Support interoperable data for more reliable decisions and downstream usage

Power automation and AI with ontologies

Provide a structured foundation for AI and automated systems
Let algorithms reason over explicit concepts and relationships
Drive more reliable automation and operational efficiency

Build your ontology from your data

Automatically extract concepts and relationships from unstructured sources
Support common formats such as CSV, TXT, and PDF
Preserve ontology quality by filtering noise and prioritizing relevant additions

Download our ready-to-use ontologies

Insurance

Access the insurance contracts ontology, a structured, machine-readable model of home and vehicle insurance policies.

Download the full ontology

Drug Approval

Access the Drug Approval ttl file, a ready-to-use ontology mapping US and European requirements for new drug applications.

Download the full ontology

CSRD

Access the CSRD Ontology ttl file, structuring corporate sustainability reports for AI-driven analysis, compliance, and governance insights.
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Download the full ontology

AI Regulations

Access the AI Regulation Act Ontology, a structured, machine-readable model mapping the information from EU Artificial Intelligence Act (2024/1689)

Download the full ontology

How it works?

Here's what we offer in four steps:

1. Upload data

Simply upload your datasets.

2. Kickstart ontology & Analyze

Add a few important concepts related to your company and identify areas for ontology enrichment.

3. Enrich

Review and approve suggested enrichments, or customize them to better fit your needs.

4. Apply

Apply the enriched ontology to your projects, gaining deeper insights and improving data understanding.

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Trusted by teams like Leroy Merlin to build clean ontologies at scale.

10,000+
new classes added

Automated ontology enrichment at scale.

“Lettria accelerated our enrichment process and improved recommendation accuracy.”

Read the case study

Frequently Asked Questions

How can I get started with Lettria Knowledge Studio?

Currently, Lettria operates on a demo-based access model. To explore the platform's capabilities and see how it can benefit your organization, you can request a personalized demo through the website.

Is technical expertise required to use Lettria?

No, Lettria is designed as a no-code solution, making it accessible to users without technical backgrounds. The intuitive interface allows users to build and enrich ontologies without the need for programming skills.

How does Lettria enhance AI and automation?

By organizing data into structured ontologies, Lettria enables AI systems to reason more effectively and automate tasks. This structured approach leads to smoother operations and increased efficiency across various applications.

What types of data can be processed?

Lettria supports a variety of unstructured data formats, including:

Text documents: .txt, .docx, .odt, .html
Spreadsheets: .csv, .xls, .xlsx
PDF files: .pdf

This versatility ensures that diverse data sources can be effectively transformed into structured knowledge.

Can I use my existing ontologies with Lettria?

Yes, Lettria allows you to import your existing ontologies in standard formats like RDF or OWL. The platform supports editing and navigating between concepts, labels, and relationships, facilitating seamless integration and enrichment.

How does the ontology enrichment process work?

The process involves four key steps:

Upload Data: Import your datasets, such as CSV, TXT, or PDF files.
Kickstart Ontology & Analyze: Introduce key concepts relevant to your organization and identify areas for enrichment.
Enrich: Review and approve suggested enhancements or customize them to suit your needs.
Apply: Implement the enriched ontology in your projects to gain deeper insights and improve data comprehension.

Find out more on this article Introducing the Ontology Toolkit.

What is Lettria Knowledge Studio?

Lettria Knowledge Studio is a no-code platform designed to help organizations build and enrich ontologies from unstructured data sources. It facilitates the transformation of raw text into structured knowledge, enabling better data understanding and management.

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